Senior data scientist (ova5666)
Summary
Design and deploy enterprise-scale graph AI platforms on AKS using TigerGraph, building GNNs, knowledge graphs, and fraud-detection solutions with Python, Kubernetes, and Azure.
We're Hiring: Senior Data Scientist (Tiger Graph & AKS Kubernetes)
Location: Johannesburg
Employment Type: 12 months contract
Experience: Senior (7+ years) | Principal (10+ years)
Are you passionate about Graph AI, distributed systems, and cloud-native platforms? We're looking for an experienced Senior Data Scientist/AI Engineer to design and implement enterprise-scale graph platforms that power advanced analytics, AI, and machine learning solutions.
You’ll play a key role in architecting and deploying Tiger Graph solutions on Azure Kubernetes Service (AKS), enabling high-performance, relationship-driven intelligence across enterprise data.
Key Responsibilities Graph Engineering & AI Design and develop enterprise-scale graph data models and graph analytics solutions. Build advanced graph-based machine learning solutions, including: Graph Neural Networks (GNNs) Link Prediction Community Detection Path Analysis Develop enterprise Knowledge Graphs supporting AI, Gen AI, and Retrieval-Augmented Generation (RAG). Create graph-derived features to improve machine learning models and intelligent decision‑making. Tiger Graph Development Develop and optimise graph queries using GSQL. Design scalable graph architectures and optimise query performance. Implement secure, high-performance data ingestion pipelines from enterprise platforms such as Azure Data Lake Storage (ADLS) and Databricks. Deliver graph analytics solutions supporting: Fraud Detection Financial Crime Customer Intelligence Network Risk Management Kubernetes & Cloud Engineering Architect, deploy, and manage Tiger Graph clusters on Azure Kubernetes Service (AKS). Design and manage containerised workloads using Kubernetes. Configure networking, storage, autoscaling, security, and monitoring for graph platforms. Develop CI/CD pipelines and infrastructure automation using Kubernetes-native Dev Ops practices. Continuously optimise platform performance, scalability, resilience, and cost efficiency. Architecture & Leadership Design end-to-end graph solution architectures integrated with enterprise data platforms and APIs. Provide technical leadership and mentorship on graph technologies, Kubernetes, and cloud-native engineering. Evaluate emerging technologies and contribute to the evolution of enterprise AI platforms. Collaborate with business and technical stakeholders to translate complex requirements into scalable solutions. Required Qualifications Education Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM discipline. Advantage Master’s Degree in a related field. Preferred Certifications Tiger Graph Certification Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) Microsoft Azure Certifications Required Experience Senior: 7+ years’ experience Principal: 10+ years’ experience Experience in: Enterprise Graph Engineering Distributed Systems Cloud-native Architecture Kubernetes Platform Engineering Financial Crime or Fraud Analytics Enterprise API Integration Dev Ops and Infrastructure Automation Technical Skills Graph Technologies Tiger Graph GSQL Graph Theory Graph Algorithms Knowledge Graphs Graph Machine Learning Programming Python (Essential) Java and/or Scala Cloud & Data Azure Kubernetes Service (AKS) Kubernetes Docker Azure Data Lake Storage (ADLS) Databricks Apache Spark Streaming Frameworks Dev Ops CI/CD Infrastructure as Code Kubernetes-native deployment Monitoring & Observability What We're Looking For Strong analytical and problem‑solving skills Passion for AI, graph technologies, and innovation Excellent communication and stakeholder engagement skills Experience working in high-performance, enterprise environments Ability to mentor technical teams and drive engineering excellence